Product design question
Design a library for the future.
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Open ended product vision: picking a specific evolving user need rather than just digitizing the current experience.
How to approach it
- Clarify the scope, a physical space, a digital service, or both, and state the assumption, likely a hybrid physical digital community space.
- Identify how usage is shifting, less about physical book lending, more about digital access, community programming, and quiet workspace.
- Propose the core future value proposition, a community hub combining digital content access, maker or creation spaces, and curated expert led programming.
- Address a specific underserved need, equitable access to digital tools and internet for those without them at home.
- Define success metrics, community program attendance and digital resource usage per member, not just physical book checkouts.
What a strong answer includes
- Grounds the vision in a real observed shift, declining physical book circulation alongside rising demand for digital access and community space.
- Names a specific underserved need, digital equity for those without home internet or devices, tying the mission to a concrete modern problem.
- Sets metrics that reflect the new value proposition, program attendance and digital resource usage, instead of clinging to physical checkout counts.
Common mistakes
- Only proposing technology add ons like e readers with no rethinking of the space's actual future role.
- Ignoring the community and equity mission that public libraries specifically serve.
- No metric defined that reflects the redesigned value proposition.
Likely follow-up questions
- How would you fund this given most libraries operate on limited public budgets?
- How would you measure success differently for a library in a low income area versus an affluent one?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop